Evidence map›Paper›PMID 37474623›Full record

ArticleAIDS and behavior2024

Identifying HIV PrEP Attributes to Increase PrEP Use Among Different Groups of Gay, Bisexual, and Other Men Who Have Sex with Men: A Latent Class Analysis of a Discrete Choice Experiment.

Rahel Dawit, Zachary Predmore, Julia Raifman, Philip A Chan, Alexandra Skinner, Siena Napoleon, Alexandra Zanowick-Marr, Danielle Le Brazidec, Alexi Almonte, Lorraine T Dean

Abstract read
In one paragraph

Article in AIDS and behavior, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Rahel DawitDepartment of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, 21205, USA. rdawit1@jhu.edu.ORCID http://orcid.org/0000-0002-3599-3597
Zachary PredmoreRAND Health Care, RAND Corporation, Boston, MA, 02116, USA.
Julia RaifmanDepartment of Health Law, Policy, and Management, Boston University School of Public Health, Boston, MA, 02118, USA.
Philip A ChanBrown University AIDS Program, The Miriam Hospital, Providence, RI, 02906, USA.
Alexandra SkinnerDepartment of Health Law, Policy, and Management, Boston University School of Public Health, Boston, MA, 02118, USA.
Siena NapoleonBrown University AIDS Program, The Miriam Hospital, Providence, RI, 02906, USA.
Alexandra Zanowick-MarrBrown University AIDS Program, The Miriam Hospital, Providence, RI, 02906, USA.
Danielle Le BrazidecBrown University AIDS Program, The Miriam Hospital, Providence, RI, 02906, USA.
Alexi AlmonteBrown University AIDS Program, The Miriam Hospital, Providence, RI, 02906, USA.
Lorraine T DeanDepartment of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, 21205, USA.

Funding

Vaccine Response and Immunotherapeutics SWGP30AI094189 · NIAID · JOHNS HOPKINS UNIVERSITY · PI Richard E. Chaisson · 2012 to 2026
$67.0M
Johns Hopkins HIV Epidemiology and Prevention Sciences Training ProgramT32AI102623 · NIAID · JOHNS HOPKINS UNIVERSITY · PI Shruti H Mehta · 2013 to 2026
$5.3M
The Brown Initiative in HIV and AIDS Clinical Research for Minority CommunitiesR25MH083620 · NIMH · MIRIAM HOSPITAL · PI NUNN, AMY STEWART · 2008 to 2025
$3.7M
Predicting the impact of cost on HIV pre-exposure prophylaxis uptake and racial/ethnic disparities among MSMR21MH118019 · NIMH · MIRIAM HOSPITAL · PI CHAN, PHILIP ANDREW, DEAN, LORRAINE TIERA · 2019 to 2020
$452k
NIAID NIH HHS P30 AI094189NIAID NIH HHS T32 AI102623NIMH NIH HHS R21 MH118019NIMH NIH HHS R21MH118019-01NIMH NIH HHS R25 MH083620NIMH NIH HHS R25MH083620
6 · The paper itself

Abstract

Daily pre-exposure prophylaxis (PrEP) is highly effective at preventing HIV among gay, bisexual, and other men who have sex with men (GBMSM), although uptake remains suboptimal. By identifying the features of PrEP that appeal to various subgroups of GBMSM, this study aimed to improve PrEP uptake by examining preferences for PrEP use. Adults ≥ 18 years old in six New England states completed an online discrete choice experiment survey. A latent class analysis (LCA) was conducted to identify groups of GBMSM based on four attributes of choices for PrEP (cost, time, side effects, and mode of administration). Multinominal logistic regression was conducted to compare the association between sociodemographic and behavioral characteristics and class memberships. Data from 675 GBMSM were analyzed. A 3-Class model was selected as the best fit model. Class 1 (47.7% of individuals) was identified as having "no specific preferences". Class 2 (18.5% of individuals) were "Cost- and time-conscious" and were significantly more likely to be older, have prior sexually transmitted infection (STI) testing, have low household income, private insurance, and have extreme concerns about HIV risk than those with no specific preference (Class 1). Finally, Class 3 (34.1% of individuals) were "Side effects-conscious" and were more likely to have low income, private insurance, and have moderate and extreme concerns about HIV risk than those with no specific preference (Class 1). Findings indicate that outreach to GBMSM who have never used PrEP should emphasize low cost and short travel times to increase potential PrEP use.

Indexed as

HIV InfectionsPre-Exposure ProphylaxisSexual and Gender MinoritiesAdolescentAdultBisexualityHomosexuality, MaleHumansLatent Class AnalysisMaleDiscrete choice experimentGay bisexual and other men who have sex with menHIV/AIDSLatent class analysisPre-exposure prophylaxis

Identifiers

PMID37474623
PMCPMC11328593

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.